Open AccessA new approach to economic‐emission load dispatch using NSGA II. Case study
Author(s) -
Moraes Nadime Mustafa,
Bezerra Ubiratan Holanda,
Moya Rodríguez Jorge Laureano,
Nascimento Manoel Henrique Reis,
Leite Jandecy Cabral
Publication year - 2018
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2626
Subject(s) - sorting , index (typography) , genetic algorithm , multi objective optimization , mathematical optimization , electricity , computer science , automotive engineering , operations research , engineering , mathematics , electrical engineering , algorithm , world wide web
Summary Economic‐emission load dispatch optimization problem is an essential task in power plants with internal combustion engines. In power plants, in addition to electricity, a lot of air pollution by exhaust gases is generated. There are many international standards that establish the permissible limits of different substances but still have not developed an expression to evaluate the environmental impact caused by all components of the exhaust gases as a whole. A new method to evaluate this impact is developed in this paper. The developed mathematical expression was called “emission index.” To get a better idea of the environmental impact of each type of engine, the “specific emission index”, which is the emission index divided by the power delivered by the engine. This paper also presents a mathematical model for a multiobjective optimization of economic‐emission load dispatch using nondominated sorting genetic algorithm II.